diff --git a/vllm/Dockerfile b/vllm/Dockerfile
new file mode 100644
index 0000000..75d9624
--- /dev/null
+++ b/vllm/Dockerfile
@@ -0,0 +1,132 @@
+ARG CUDA_VERSION=12.6.3
+ARG IMAGE_DISTRO=ubuntu24.04
+ARG PYTHON_VERSION=3.12
+
+# ---------- Builder Base ----------
+FROM nvcr.io/nvidia/cuda:${CUDA_VERSION}-devel-${IMAGE_DISTRO} AS base
+
+# Set arch lists for all targets
+# 'a' suffix is not forward compatible but enables all optimizations
+ARG TORCH_CUDA_ARCH_LIST="9.0a"
+ENV TORCH_CUDA_ARCH_LIST=${TORCH_CUDA_ARCH_LIST}
+ARG VLLM_FA_CMAKE_GPU_ARCHES="90a-real"
+ENV VLLM_FA_CMAKE_GPU_ARCHES=${VLLM_FA_CMAKE_GPU_ARCHES}
+
+# Update apt packages and install dependencies
+ENV DEBIAN_FRONTEND=noninteractive
+RUN apt update
+RUN apt upgrade -y
+RUN apt install -y --no-install-recommends \
+        curl \
+        git \
+        libibverbs-dev \
+        zlib1g-dev
+
+# Clean apt cache
+RUN apt clean
+RUN rm -rf /var/lib/apt/lists/*
+RUN rm -rf /var/cache/apt/archives
+
+# Set compiler paths
+ENV CC=/usr/bin/gcc
+ENV CXX=/usr/bin/g++
+
+# Install uv
+RUN curl -LsSf https://astral.sh/uv/install.sh | env UV_INSTALL_DIR=/usr/local/bin sh
+
+# Setup build workspace
+WORKDIR /workspace
+
+# Prep build venv
+ARG PYTHON_VERSION
+RUN uv venv -p ${PYTHON_VERSION} --seed --python-preference only-managed
+ENV VIRTUAL_ENV=/workspace/.venv
+ENV PATH=${VIRTUAL_ENV}/bin:${PATH}
+ENV CUDA_HOME=/usr/local/cuda
+ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
+
+# Install pytorch nightly
+RUN uv pip install torch torchvision torchaudio --extra-index-url https://download.pytorch.org/whl/cu126
+
+FROM base AS build-base
+RUN mkdir /wheels
+
+# Install build deps that aren't in project requirements files
+# Make sure to upgrade setuptools to avoid triton build bug
+RUN uv pip install -U build cmake ninja pybind11 setuptools wheel
+
+FROM build-base AS build-triton
+ARG TRITON_REF=release/3.2.x
+ARG TRITON_BUILD_SUFFIX=+cu126
+ENV TRITON_WHEEL_VERSION_SUFFIX=${TRITON_BUILD_SUFFIX:-}
+RUN git clone https://github.com/triton-lang/triton.git
+RUN cd triton && \
+    git checkout ${TRITON_REF} && \
+    git submodule sync && \
+    git submodule update --init --recursive -j 8 && \
+    uv build python --wheel --no-build-isolation -o /wheels
+
+FROM build-base AS build-xformers
+ARG XFORMERS_REF=v0.0.29.post2
+ARG XFORMERS_BUILD_VERSION=0.0.29.post2+cu126
+ENV BUILD_VERSION=${XFORMERS_BUILD_VERSION:-${XFORMERS_REF#v}}
+RUN git clone  https://github.com/facebookresearch/xformers.git
+RUN cd xformers && \
+    git checkout ${XFORMERS_REF} && \
+    git submodule sync && \
+    git submodule update --init --recursive -j 8 && \
+    uv build --wheel --no-build-isolation -o /wheels
+
+FROM build-base AS build-flashinfer
+ARG FLASHINFER_ENABLE_AOT=1
+ARG FLASHINFER_REF=v0.2.2.post1
+ARG FLASHINFER_BUILD_SUFFIX=cu126
+ENV FLASHINFER_LOCAL_VERSION=${FLASHINFER_BUILD_SUFFIX:-}
+RUN git clone https://github.com/flashinfer-ai/flashinfer.git
+RUN cd flashinfer && \
+    git checkout ${FLASHINFER_REF} && \
+    git submodule sync && \
+    git submodule update --init --recursive -j 8 && \
+    uv build --wheel --no-build-isolation -o /wheels
+
+FROM build-base AS build-vllm
+ARG VLLM_REF=v0.8.1
+RUN git clone https://github.com/vllm-project/vllm.git
+RUN cd vllm && \
+    git checkout ${VLLM_REF} && \
+    git submodule sync && \
+    git submodule update --init --recursive -j 8 && \
+    uv pip install -r requirements/build.txt && \
+    uv build --wheel --no-build-isolation -o /wheels
+
+
+FROM base AS vllm-openai
+COPY --from=build-flashinfer /wheels/* wheels/
+COPY --from=build-triton /wheels/* wheels/
+COPY --from=build-vllm /wheels/* wheels/
+COPY --from=build-xformers /wheels/* wheels/
+
+# Install and cleanup wheels
+RUN uv pip install wheels/*
+RUN rm -r wheels
+
+# Install pynvml
+RUN uv pip install pynvml pandas
+
+# Add additional packages for vLLM OpenAI
+RUN uv pip install accelerate hf_transfer modelscope bitsandbytes timm boto3 runai-model-streamer runai-model-streamer[s3] tensorizer
+
+# Clean uv cache
+RUN uv clean
+
+# Install LMCache
+RUN git clone https://github.com/LMCache/LMCache.git && \
+    cd LMCache && \
+    git checkout v0.1.4-alpha && \
+    python setup.py install
+
+# Enable hf-transfer
+ENV HF_HUB_ENABLE_HF_TRANSFER=1
+
+# API server entrypoint
+ENTRYPOINT ["vllm", "serve"]
diff --git a/vllm/README.md b/vllm/README.md
new file mode 100644
index 0000000..21082b6
--- /dev/null
+++ b/vllm/README.md
@@ -0,0 +1,9 @@
+# VLLM images for GH200
+
+Hosted [here](https://hub.docker.com/repository/docker/rajesh550/gh200-vllm)
+
+```bash
+docker login
+docker build --platform linux/arm64 -t rajesh550/gh200-vllm:0.8.1 .
+docker push rajesh550/gh200-vllm:0.8.1
+```